论文阅读 《An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis》
这篇文章主要把aspect情感分析的两个任务（AS和AE）进行了多任务学习，主要用一个attn层实现AE辅助AS训练，以及引入DD,DS两个文档级别的分类任务进行辅助训练，同时提出了一个信息传递机制，每次迭代都会根据多任务的数据对最初提取的特征向量进行更新，这种信息传递机制实现了更好的多任务学习。
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相关文章
- 1. 【l论文阅读】An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis
- 2. 论文阅读笔记：Transfer Learning for Deep Sentiment Analysis
- 3. 论文阅读 《Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis》
- 4. 【论文阅读】Learning Deconvolution Network for Semantic Segmentation
- 5. 《Review Sentiment Analysis Based on Deep Learning》论文阅读笔记
- 6. Progressive Self-Supervised Attention Learning forAspect-Level Sentiment Analysis论文阅读
- 7. VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis 论文解读
- 8. 论文阅读：Leveraging multimodal information for event summarization and concept-level sentiment analysis
- 9. SentiLR:Linguistic Knowledge Enhanced Language Representation for Sentiment Analysis 论文阅读笔记
- 10. 《Semisupervised Autoencoder for Sentiment Analysis》阅读笔记